CXXGraph
algorithms
CXXGraph | algorithms | |
---|---|---|
84 | 3 | |
396 | 23,587 | |
- | - | |
8.4 | 4.4 | |
6 days ago | 2 days ago | |
C++ | Python | |
GNU Affero General Public License v3.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CXXGraph
-
Hacktoberfest is ON CXXGraph
Actual Web Site
-
Revolutionizing Data Processing with CXXGraph: A Comprehensive Guide to Graph Data Structures in C++
CXXGraph is a C++ library for graph data structures that provides an easy-to-use interface for creating and processing direct and nondirect graphs. CXXGraph provides a simplified interface for creating and manipulating graphs. Using CXXGraph, developers can create graphs, add and remove edges, and perform various graph processing algorithms.
-
CXXGraph Library : Header-Only C++ Library for Graph Representation and Algorithms
If you have 5 minutes to get in touch, click on the project or write to me at [email protected]
- 2 Weeks of Hacktoberfest, How is it going??
- Hacktoberfest is started, give your contribution!
-
Hacktobefest 2022: My Repo
View on GitHub
-
GraphScope VS CXXGraph - a user suggested alternative
2 projects | 17 Mar 2022
A Fast Graph library in C++
-
libgrape-lite VS CXXGraph - a user suggested alternative
2 projects | 17 Mar 2022
A good library for graph algorithms
-
euler VS CXXGraph - a user suggested alternative
2 projects | 17 Mar 2022
Good alternative for algorithms
-
xgboost VS CXXGraph - a user suggested alternative
2 projects | 28 Feb 2022
algorithms
-
algorithms VS CXXGraph - a user suggested alternative
2 projects | 28 Feb 2022
-
I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
Here are some that might answer your question: - algorithms is a library which contains many of the most useful algorithms for sorting, searching, working with trees, math algorithms like factorials, prime finders and many more - data classes to save you the trouble of writing everytime special methods in a class like init, repr, set, get - box allows the use of dot on dictionaries to access the keys - more-itertools for more routines to operate on iterables than those itertools provide.
- Resources To Learn Data Structures And Algorithms
What are some alternatives?
sirix - SirixDB is an an embeddable, bitemporal, append-only database system and event store, storing immutable lightweight snapshots. It keeps the full history of each resource. Every commit stores a space-efficient snapshot through structural sharing. It is log-structured and never overwrites data. SirixDB uses a novel page-level versioning approach.
searxng - SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Box - Python dictionaries with advanced dot notation access
graphlite - A lightweight C++ graph library
algorithms_illuminated - Python implementations and tests for the Algorithms Illuminated book series. Some test cases from the following repository: https://github.com/beaunus/stanford-algs
shields - Concise, consistent, and legible badges in SVG and raster format
threeXYZgraphing - 3d xyz graphing using threejs
bitcart - https://bitcart.ai
more-itertools - More routines for operating on iterables, beyond itertools
benchmark - A microbenchmark support library
nimpy - Nim - Python bridge